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Table 3 Result of PLSR and PC-MLR models for cellulose, hemicellulose and lignin based on optimal wavelengths

From: Nondestructive and rapid determination of lignocellulose components of biofuel pellet using online hyperspectral imaging system

Indices

Model type

Para

Calibration set

Prediction set

\(R_{\text{c}}^{2}\)

RMSEC (%)

\(R_{\text{p}}^{2}\)

RMSEP (%)

Cellulose

SPA–PC-MLR

18

0.91

2.60

0.92

2.41

SPA–PLSR

11

0.90

2.77

0.91

2.52

Hemicellulose

SNV–SPA–PC-MLR

10

0.81

1.63

0.84

1.48

SNV–SPA–PLSR

8

0.79

1.69

0.80

1.63

Lignose

SPA–PC-MLR

16

0.76

1.71

0.71

1.89

SPA–PLSR

12

0.75

1.76

0.65

2.06

  1. aSimilar model parameters and abbreviations as in Table 2. SPA successive projections algorithm
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Biotechnology for Biofuels and Bioproducts

ISSN: 2731-3654

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